A codebase health and cleanup workflow built around the Desloppify engine. It scans code, reviews its structure, identifies root causes, makes bounded repairs, and checks the results.

Use it to assess one program or separate parts of a monorepo, improve maintainability, and verify changes with tests, linting, type checks, builds, or smoke checks.

It turns technical debt—code that is harder to change or maintain than it should be—into documented cleanup tasks while preserving product behavior.

desloppify — Skill for Claude Code and Codex by Parcha-ai

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add Parcha-ai/parcha-skills --skill desloppify

Clone the repo

git clone --depth 1 https://github.com/Parcha-ai/parcha-skills

Made for: Claude Code, Codex.

Or install desloppify, the plugin that ships this one along with the rest of its 1 skill.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/parcha-ai/parcha-skills/desloppify/github.svg)](https://agentmods.dev/skills/parcha-ai/parcha-skills/desloppify)

Your own site

<a href="https://agentmods.dev/skills/parcha-ai/parcha-skills/desloppify"><img src="https://agentmods.dev/badge/skills/parcha-ai/parcha-skills/desloppify/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/parcha-ai/parcha-skills/desloppify"><img src="https://agentmods.dev/badge/skills/parcha-ai/parcha-skills/desloppify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,344 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00104	$0.01344
Opus 5	$0.00052	$0.00672
Sonnet 5	$0.00021	$0.00269
Haiku 4.5	$0.00010	$0.00134

Measured 10d ago against content hash 4a8abe7e5890, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

desloppify scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/desloppify_portable.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

desloppify/skills/desloppify/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Desloppify

Turn a codebase health inventory into evidence-backed cleanup. Preserve product behavior first; improve the strict score by making the code genuinely easier to change, never by gaming exclusions or suppressions.

This portable companion uses the official Desloppify engine created by Peter O'Malley. The engine is a separate OSNL-0.2 dependency; this skill does not bundle it.

Work the loop

1. Scope one coherent program

Read the repository instructions and inspect the tree, language manifests, generated directories, vendor code, build output, and nested worktrees.

Scan one coherent program at a time. In a monorepo, use separate --path targets for independently built frontend, backend, service, or package roots.
Exclude obvious generated/vendor/build content. Ask before excluding an ambiguous authored directory because exclusion removes it from the score.
Add .desloppify/ to the applicable .gitignore before scanning. It contains local, source-derived state and review packets; never commit or package it.

2. Pin behavior before quality work

Record current HEAD, dirty files, and the existing project gate: tests, lint, types, builds, or smoke checks appropriate to the repository. Run the cheapest representative slice before editing and preserve its result as the baseline.

If the baseline is already failing, separate pre-existing failures from new ones. A higher Desloppify score never excuses a product regression.

3. Establish the health baseline

Resolve the bundled script relative to this SKILL.md, then run its local, credential-blind doctor:

python3 <skill-dir>/scripts/desloppify_portable.py doctor --project <coherent-project-root>

It performs no network request, install, model invocation, or shared-file write. Fix its actionable failures, then run the official engine through the argv-safe adapter:

python3 <skill-dir>/scripts/desloppify_portable.py run -- --version
python3 <skill-dir>/scripts/desloppify_portable.py run -- scan --path <coherent-project-root>
python3 <skill-dir>/scripts/desloppify_portable.py run -- status
python3 <skill-dir>/scripts/desloppify_portable.py run -- next

Read the full file on GitHub · 135 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

10d ago First seen · 135 lines · 104 tokens per session scan A 4a8abe7e5890

Subscribe to this mod's changes

desloppify is a skill published in the GitHub repository Parcha-ai/parcha-skills (59 stars, last pushed today), licensed MIT. It adds 104 tokens to every session and 1,344 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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